Results 71 to 80 of about 471,216 (339)

Observing the Galactic Plane with the Cherenkov Telescope Array

, 2017
The Cherenkov Telescope Array is a next generation ground-based gamma-ray observatory de- signed to detect photons in the 20 GeV to 300 TeV energy range.
Holder, Jamie, Zanin, Roberta
core   +1 more source

Bibliografia prac Roberta Elsie. (Teksty naukowe. Tłumaczenia. Opracowania. Wystąpienia)

Slavia Meridionalis, 2018
A bibliography of works by Robert Elsie. (Scientific papers, translations, studies, presentations) The paper gives a list of selected publications of Robert Elsie.   Bibliografia prac Roberta Elsie. (Teksty naukowe. Tłumaczenia.
Irena Sawicka
doaj   +1 more source

Influence of Hydrogen‐Incorporation on the Bulk Electronic Structure and Chemical Bonding in Palladium

Advanced Science, EarlyView.
Hydrogen incorporation in palladium is directly probed using in situ ambient‐pressure hard X‐ray photoelectron spectroscopy under realistic, application‐relevant conditions. Correlated structural, spectroscopic, and theoretical analysis reveals how hydrogen loading modifies structure, electronic structure, and metal‐hydrogen bonding, resolving long ...
Lars J. Bannenberg, Fernando García‐Martínez, Patrick Lömker, Robin. Y. Engel, Christoph Schlueter, Herman Schreuders, Amy Navarathna, Laura. E. Ratcliff, Anna Regoutz   +8 more
wiley   +1 more source

Detection of COVID-19 informative tweets using RoBERTa [PDF]

, 2020
Sirigireddy Dhanalaxmi, Rohit Agarwal, Aman Sinha   +2 more
openalex   +1 more source

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive‐Metal‐Oxide/HfOx ReRAM via Compact Modeling

Advanced Electronic Materials, EarlyView.
A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta, Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Stephan Menzel, Antonio La Porta, Tommaso Stecconi, Folkert Horst, Bert Jan Offrein, Valeria Bragaglia   +9 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

On Productivity Measurement and Interpretation: Some Insights on Italy in the European Context. LEQS Paper No. 142/2019 March 2019 [PDF]

, 2019
Over the period 1995–2016, the Italian performance in terms of productivity was poor in historical terms and in comparison with its main international partners.
De Santis, Roberta, Ferroni, Valeria
core  

A Deep Learning Approach to Classifying Software Requirements: The Application of Transformer-Based Ensemble Learning and Attention-Based Fusion

Foundations of Computing and Decision Sciences
The functional requirements (FRs) classification in software requirements classification (SRC) is a difficult task due to class imbalance, fine-grained subcategories, and semantic complexities. Existing Machine Learning (ML) and Deep Learning (DL) models
Kiani Azaz Ahmed
doaj   +1 more source

Advancing Seabed Bedform Mapping in the Kuźnica Deep: Leveraging Multibeam Echosounders and Machine Learning for Enhanced Underwater Landscape Analysis

Remote Sensing
The ocean, covering 71% of Earth’s surface, remains largely unexplored due to the challenges of the marine environment. This study focuses on the Kuźnica Deep in the Baltic Sea, aiming to develop an automatic seabed mapping methodology using multibeam ...
Łukasz Janowski
doaj   +1 more source